Interobserver Variability Prediction of Primary Gross Tumor in a Patient with Non-Small Cell Lung Cancer

SIMPLE SUMMARY: To reduce interobserver variability (IOV) for primary gross tumor volume in a patient with non-small cell lung cancer (NSLCL), the concept of an IOV map was newly proposed using signed Euclidean distance transform, fuzzy set theory, and the IOV prediction network, which could predict...

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Detalles Bibliográficos
Autores principales: Cheon, Wonjoong, Jeong, Seonghoon, Jeong, Jong Hwi, Lim, Young Kyung, Shin, Dongho, Lee, Se Byeong, Lee, Doo Yeul, Lee, Sung Uk, Suh, Yang Gun, Moon, Sung Ho, Kim, Tae Hyun, Kim, Haksoo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9741368/
https://www.ncbi.nlm.nih.gov/pubmed/36497374
http://dx.doi.org/10.3390/cancers14235893

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9741368/
https://www.ncbi.nlm.nih.gov/pubmed/36497374
http://dx.doi.org/10.3390/cancers14235893

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